Why This Role Stands Out
This role offers a fantastic opportunity to leverage your advanced SQL and Excel skills to drive impactful data analysis within regulatory operations, contributing to critical compliance processes. You'll thrive here if you are a detail-oriented, mid-senior data professional eager to collaborate with diverse teams and enhance operational efficiency. Apply now to gain valuable experience in a reputable organization with a competitive hourly rate.
Quick Overview
Job Description
NO C2C Candidates Accepted
Location: Charlotte, NC (preferred) or New York, NY (Hybrid 2 days a week - Local Candidates Only)
Contract Length: 12 months to start (option to extend up to 18 month tenure limit)
Seeking a Mid-to-Senior Data Analyst to join the Regulatory Operations team. In this role, you will analyze large datasets, perform rigorous data validation, and build reliable operational reporting to ensure timely regulatory deliverables. You will work closely with cross-functional stakeholders to audit data quality, identify operational risks, and streamline core reporting processes.
location: Charlotte, North Carolina
job type: Contract
salary: $58 - 62 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
Key Responsibilities
- Perform end-to-end data analysis, validation, and quality control checks across large, complex datasets to ensure high reporting accuracy.
- Identify data discrepancies, root causes, and operational risks, providing actionable recommendations to risk and compliance partners.
- Collaborate with cross-functional teams (Operations, Technology, and Business Units) to streamline existing workflows and automate reporting pipelines.
- Monitor ongoing regulatory reporting deliverables to maintain strict adherence to compliance timelines.
- Communicate analytical findings, operational gaps, and status updates to key business stakeholders through clear written documentation and presentations.
- Education: Bachelor's degree in Computer Science, Statistics, Data Analytics, Engineering, or a related quantitative field.
- Technical Proficiency: Advanced SQL skills (querying, joining, data extraction) and expert-level Microsoft Excel skills.
- Data Quality & Analysis: Proven track record in data validation, discrepancy identification, and operational risk detection within large datasets.
- Problem-Solving: Strong analytical thinking with a structured approach to troubleshooting complex data issues.
- Communication: Exceptional verbal and written communication skills with experience presenting technical insights to non-technical stakeholders.
- Location: Must be locally based in or near Charlotte, NC or New York City, NY.
- Prior experience in financial services or working directly with regulatory data models.
- Proficiency in programming languages (Python) for automated data extraction and processing.
- Experience building dashboards using BI tools (Power BI or Tableau).
- Familiarity with cloud environments (AWS) and data governance/lineage principles.
qualifications:
Minimum Qualifications
Education: Bachelor's degree in Computer Science, Statistics, Data Analytics, Engineering, or a related quantitative field.
Technical Proficiency: Advanced SQL skills (querying, joining, data extraction) and expert-level Microsoft Excel skills.
Data Quality & Analysis: Proven track record in data validation, discrepancy identification, and operational risk detection within large datasets.
Problem-Solving: Strong analytical thinking with a structured approach to troubleshooting complex data issues.
Communication: Exceptional verbal and written communication skills with experience presenting technical insights to non-technical stakeholders.
Location: Must be locally based in or near Charlotte, NC or New York City, NY.
Preferred Qualifications
Prior experience in financial services or working directly with regulatory data models.
Proficiency in programming languages (Python) for automated data extraction and processing.
Experience building dashboards using BI tools (Power BI or Tableau).
Familiarity with cloud environments (AWS) and data governance/lineage principles.
skills:
AWS,large datasets,complex datasets,cloud environments,data analysis,Data Analytics,data governance,data extraction,data validation,Computer Science,Excel,Microsoft Excel skills,Power BI,Python,SQL,Advanced SQL skills,Tableau,analytical thinking,Strong analytical thinking,Communicate,Communication,verbal and written communication skills,problem-solving,audit,automated,BI tools,building dashboards,data models,data quality,presentations,presenting,financial,financial services,Statistics,operational reporting,operational risks,operational risk,quality checks,quality control checks,Regulatory Operations,regulatory reporting,risk,stakeholder communication,streamline,Technical Proficiency,workflow automation,workflows,written documentation
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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